code: def rc_f():
      return rc
  
file_path: Hyperactive/examples/optimization_applications/ensemble_learning_example.py
imports: import itertools
  from sklearn.datasets import load_breast_cancer
  from sklearn.model_selection import cross_val_score
  from mlxtend.classifier import StackingClassifier
  from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, ExtraTreesClassifier
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.neural_network import MLPClassifier
  from sklearn.gaussian_process import GaussianProcessClassifier
  from sklearn.tree import DecisionTreeClassifier
  from sklearn.naive_bayes import GaussianNB
  from sklearn.linear_model import LogisticRegression
  from sklearn.linear_model import RidgeClassifier
  from hyperactive import Hyperactive
label_desc: Use image node_id 6 for calling a global function with example usage: rc_f() and returns: rc